Dental Pulp Capping Materials: Modulators of Stem Cell Behavior and Regenerative Potential [0.03%]
牙髓护髓剂：干细胞行为和再生潜能的调节因子
Ali Cheayto,Sara Ayoub,Sarah Ayad Al-Tameemi et al.
Ali Cheayto et al.
This review aims to summarize current knowledge on the effects of various pulp capping agents on dental-derived stem cells during pulp capping procedures. Pulp capping is a biologically based treatment designed to manage minimal pulpal expo...
Crucial Features from CWT Analysis of Single Lead EEG Signal to Detect Sleep Arousal [0.03%]
基于单导EEG信号CWT分析的关键特征以检测睡眠觉醒反应
Md Hussain Ali,Md Bashir Uddin
Md Hussain Ali
Sleep arousal, characterized by emergence of light sleep or partial wakefulness, often indicates underlying physical disorders, and its detection is crucial for effective patient treatment. While the detection of arousals using multiple sig...
TLMACEA: Design of a transfer learning model for correlative analysis of auscultation and clinical parameters via explainable AI-based recommender [0.03%]
基于可解释的人工智能推荐的听诊和临床参数相关分析的迁移学习模型设计
Divya Singh,Bikesh Singh,Ankur Jaiswal et al.
Divya Singh et al.
Auscultations are commonly used to analyze lung conditions through signal processing and classification techniques. However, the efficiency of these models is often limited by factors like signal quality, sensor performance, and dataset siz...
Development of a Treatment Planning System for Superficial x-ray Radiotherapy using Monte Carlo Database [0.03%]
基于蒙特卡罗数据库的浅层X射线放射治疗计划系统的研发
Hui Zhang,Li Tao,Junyi Liu et al.
Hui Zhang et al.
Objective: Currently, superficial x-ray radiotherapy does not take advantage of modern treatment planning technologies. To address the problem, a treatment planning system for superficial x-ray radiotherapy has been devel...
Effects of Focused Ultrasound Exposure Parameters and Microbubble Concentration on Cavitation Dose [0.03%]
声波曝光参数和微泡浓度对空化剂量的影响研究
Katarzyna Sendek,Ryszard Tymkiewicz,Łukasz Fura
Katarzyna Sendek
Focused ultrasound (FUS) with intravenously administered microbubbles (MBs) enables different therapeutic effects, e.g. localized opening of the blood-brain barrier (BBB). Acoustic activation of MBs under FUS induces mechanical effects---pr...
Enhanced Vascular Perfusion Mapping and Heart Rate Estimation via Spatio-Temporal rPPG with Optical and Motion Compensation Techniques [0.03%]
基于光学和运动补偿的时空rPPG血管灌注增强映射与心率估计技术
Faisal Farhan
Faisal Farhan
Remote photoplethysmography (rPPG) offers a non-contact method for monitoring physiological signals using camera-based systems. The goal of this research is to estimate heart rate and spatial distributions of vascular perfusion using spatio...
Axial Current Steering Modulates Lens Pathology-Dependent Intraocular Electric Convergence under Temporally Interfering Electrical Stimulation: A Computational Analysis [0.03%]
轴向电流调节镜片病理依赖性的眼内电汇聚在时间干扰电刺激下：一种计算分析
Xiaoyu Song,Zhou Lai,Zhengyang Liu et al.
Xiaoyu Song et al.
Temporal Interference Stimulation (TIS) is a low invasive technique for retinal modulation that utilizes the interference of high-frequency electric fields. Compared to conventional transcorneal electrical stimulation, TIS, by virtue of its...
Lizheng Pan,Zetong Wang,Zhicheng Xu et al.
Lizheng Pan et al.
The recognition of the subject's emotional states is of great significance for achieving humanized services in many scenarios with human-computer interaction. Recently, identification of the emotional states based on electroencephalogram (E...
AEGFN: adaptive evidence-gated fusion network for medical image prediction via conflict compensation and DS evidence theory-driven regularization [0.03%]
一种基于冲突补偿和DS证据理论正则化的自适应证据融合网络用于医学图像预测(AEGFN)
Xueping Tan,Hao Wang,Shudong Hu et al.
Xueping Tan et al.
The discrepancy in reliability and evidence conflict in multimodal data fusion for medical image prediction significantly undermines the accuracy of clinical decision-making. To address this challenge, we propose an Adaptive Evidence-Gated ...
Universal Black-Box Attacks Against a Third-Party Alzheimer's Diagnostic System [0.03%]
针对第三方阿尔茨海默病诊断系统的通用黑盒攻击
Claudio Sebastian Sigvard,José Miguel Franco-Valiente,German Mato
Claudio Sebastian Sigvard
Artificial intelligence (AI) systems are increasingly used in medical imaging for disease diagnosis, yet their vulnerability to adversarial attacks poses significant risks for clinical deployment. In this work, we systematically evaluate th...